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Add new unet checkpoint (add use_data_type_embedding to config)

unet/config.json ADDED
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+ {
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+ "_class_name": "UniDiffuserModel",
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+ "_diffusers_version": "0.17.0.dev0",
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+ "activation_fn": "gelu",
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+ "attention_bias": false,
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+ "attention_head_dim": 64,
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+ "block_type": "unidiffuser",
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+ "clip_img_dim": 512,
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+ "cross_attention_dim": null,
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+ "dropout": 0.0,
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+ "ff_final_dropout": true,
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+ "in_channels": 4,
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+ "norm_elementwise_affine": true,
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+ "norm_num_groups": 32,
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+ "norm_type": "layer_norm",
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+ "num_attention_heads": 24,
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+ "num_embeds_ada_norm": 1000,
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+ "num_layers": 30,
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+ "num_text_tokens": 77,
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+ "num_vector_embeds": null,
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+ "only_cross_attention": false,
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+ "out_channels": 4,
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+ "patch_size": 2,
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+ "pre_layer_norm": false,
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+ "sample_size": 64,
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+ "text_dim": 64,
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+ "upcast_attention": false,
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+ "use_data_type_embedding": true,
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+ "use_linear_projection": false,
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+ "use_patch_pos_embed": false,
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+ "use_timestep_embedding": false
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+ }
unet/diffusion_pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9307cd7aff6c6a22945c19723e0426f5631ebb31406d7d7021a2aa7127cc69fe
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+ size 3810352317